Guide to intelligent data science : how to intelligently make use of real data

Guide to intelligent data science : how to intelligently make use of real data / Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo.

Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of...

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Bibliographic Details
Main Authors: Berthold, M. (Michael) (Author), Borgelt, Christian (Author), Höppner, Frank (Author), Klawonn, F. (Author), Silipo, Rosaria (Author)
Format: eBook
Language:English
Published: Cham : Springer, 2020.
Edition:Second edition.
Series:Texts in computer science.
Subjects:
Mathematical statistics.
Mathematical statistics > Data processing.
Artificial intelligence.
artificial intelligence.
Machine learning.
Business mathematics & systems.
Data mining.
Computers > Intelligence (AI) & Semantics.
Business & Economics > Industries > Computer Industry.
Computers > Database Management > Data Mining.
Artificial intelligence
Mathematical statistics
Mathematical statistics > Data processing
Online Access:Click for online access
Table of Contents:
  • Introduction
  • Practical Data Analysis: An Example
  • Project Understanding
  • Data Understanding
  • Principles of Modeling
  • Data Preparation
  • Finding Patterns
  • Finding Explanations
  • Finding Predictors
  • Evaluation and Deployment
  • The Labelling Problem
  • Appendix A: Statistics
  • Appendix B: KNIME.

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